Marioni, Riccardo E.

Genome-wide meta-analysis of depression identifies 102 independent variants and highlights the importance of the prefrontal brain regions

Howard, D. M., Adams, M. J., Clarke, T.-K., Hafferty, J. D., Gibson, J., Shirali, M., Coleman, J. R. I., Hagenaars, S. P., Ward, J., Wigmore, E. M., et al. (2019) · Nature Neuroscience

Genetic Associations and EpidemiologyNeurotransmitter Receptor Influence on Behavior

Cited by 2,565

New insights into the genetic etiology of Alzheimer’s disease and related dementias

Bellenguez, C., Küçükali, F., Jansen, I. E., Kleineidam, L., Moreno-Grau, S., Amin, N., Naj, A. C., Campos-Martin, R., Grenier-Boley, B., Andrade, V., et al. (2022) · Nature Genetics

Alzheimer's disease research and treatmentsDementia and Cognitive Impairment Research

Cited by 2,498

Genome-wide association study identifies 74 loci associated with educational attainment

Okbay, A., Beauchamp, J. P., Fontana, M. A., Lee, J. J., Pers, T. H., Rietveld, C. A., Turley, P., Chen, G.-B., Emilsson, V., Meddens, S. F. W., et al. (2016) · Nature

Genetic Associations and EpidemiologyCognitive Abilities and Testing

Cited by 1,297

Age-associated cognitive decline

Deary, I. J., Corley, J., Gow, A. J., Harris, S. E., Houlihan, L. M., Marioni, R. E., Penke, L., Rafnsson, S. B., & Starr, J. M. (2009) · British Medical Bulletin

Dementia and Cognitive Impairment ResearchAging and Gerontology Research

Cited by 1,295

DNA methylation age of blood predicts all-cause mortality in later life

Marioni, R. E., Shah, S., McRae, A. F., Chen, B. H., Colicino, E., Harris, S. E., Gibson, J., Henders, A. K., Redmond, P., Cox, S. R., et al. (2015) · Genome Biology

Epigenetics and DNA MethylationGenetics, Aging, and Longevity in Model Organisms

Cited by 1,261

DNA methylation-based measures of biological age: meta-analysis predicting time to death

Chen, B. H., Marioni, R. E., Colicino, E., Peters, M. J., Ward-Caviness, C. K., Tsai, P.-C., Roetker, N. S., Just, A. C., Demerath, E. W., Guan, W., et al. (2016) · Aging

Epigenetics and DNA MethylationGenetics, Aging, and Longevity in Model Organisms

Cited by 1,126

DNA methylation aging clocks: challenges and recommendations

Bell, C. G., Lowe, R., Adams, P. D., Baccarelli, A. A., Beck, S., Bell, J. T., Christensen, B. C., Gladyshev, V. N., Heijmans, B. T., Horvath, S., et al. (2019) · Genome Biology

Epigenetics and DNA MethylationGenetics, Aging, and Longevity in Model Organisms

Cited by 1,025

Genomic structural equation modelling provides insights into the multivariate genetic architecture of complex traits

Grotzinger, A. D., Rhemtulla, M., de Vlaming, R., Ritchie, S. J., Mallard, T. T., Hill, W. D., Ip, H. F., Marioni, R. E., McIntosh, A. M., Deary, I. J., et al. (2019) · Nature Human Behaviour

Genetic Associations and EpidemiologyGenetic and phenotypic traits in livestock

Cited by 958

Integrative analysis of omics summary data reveals putative mechanisms underlying complex traits

Wu, Y., Zeng, J., Zhang, F., Zhu, Z., Qi, T., Zheng, Z., Lloyd-Jones, L. R., Marioni, R. E., Martin, N. G., Montgomery, G. W., et al. (2018) · Nature Communications

Genetic Associations and EpidemiologyEpigenetics and DNA Methylation

Cited by 685

Polygenic prediction of educational attainment within and between families from genome-wide association analyses in 3 million individuals

Okbay, A., Wu, Y., Wang, N., Jayashankar, H., Bennett, M., Nehzati, S. M., Sidorenko, J., Kweon, H., Goldman, G., Gjorgjieva, T., et al. (2022) · Nature Genetics

Genetic Associations and EpidemiologyGenetic and phenotypic traits in livestock

Cited by 654

Genome-wide association study of depression phenotypes in UK Biobank identifies variants in excitatory synaptic pathways

Howard, D. M., Adams, M. J., Shirali, M., Clarke, T.-K., Marioni, R. E., Davies, G., Coleman, J. R. I., Alloza, C., Shen, X., Barbu, M. C., et al. (2018) · Nature Communications

Genetic Associations and EpidemiologyTreatment of Major Depression

Cited by 612

GWAS on family history of Alzheimer’s disease

Marioni, R. E., Harris, S. E., Zhang, Q., McRae, A. F., Hagenaars, S. P., Hill, W. D., Davies, G., Ritchie, C. W., Gale, C. R., Starr, J. M., et al. (2018) · Translational Psychiatry

Alzheimer's disease research and treatmentsDementia and Cognitive Impairment Research

Cited by 564

Ultra-High-Throughput Clinical Proteomics Reveals Classifiers of COVID-19 Infection

Messner, C. B., Demichev, V., Wendisch, D., Michalick, L., White, M., Freiwald, A., Textoris-Taube, K., Vernardis, S. I., Egger, A.-S., Kreidl, M., et al. (2020) · Cell Systems

Advanced Proteomics Techniques and ApplicationsCOVID-19 Clinical Research Studies

Cited by 561

Genomic and phenotypic insights from an atlas of genetic effects on DNA methylation

Min, J. L., Hemani, G., Hannon, E., Dekkers, K. F., Castillo-Fernandez, J., Luijk, R., Carnero-Montoro, E., Lawson, D. J., Burrows, K., Suderman, M., et al. (2021) · Nature Genetics

Epigenetics and DNA MethylationGenetic Associations and Epidemiology

Cited by 506

Improved precision of epigenetic clock estimates across tissues and its implication for biological ageing

Zhang, Q., Vallerga, C. L., Walker, R. M., Lin, T., Henders, A. K., Montgomery, G. W., He, J., Fan, D., Fowdar, J., Kennedy, M., et al. (2019) · Genome Medicine

Epigenetics and DNA MethylationGenetics, Aging, and Longevity in Model Organisms

Cited by 487

DNA methylation-based estimator of telomere length

Lu, A. T., Seeboth, A., Tsai, P.-C., Sun, D., Quach, A., Reiner, A. P., Kooperberg, C., Ferrucci, L., Hou, L., Baccarelli, A. A., et al. (2019) · Aging

Telomeres, Telomerase, and SenescenceEpigenetics and DNA Methylation

Cited by 440

Identifying gene targets for brain-related traits using transcriptomic and methylomic data from blood

Qi, T., Wu, Y., Zeng, J., Zhang, F., Xue, A., Jiang, L., Zhu, Z., Kemper, K., Yengo, L., Zheng, Z., et al. (2018) · Nature Communications

Genetic Associations and EpidemiologyGenetic Mapping and Diversity in Plants and Animals

Cited by 427

A DNA methylation biomarker of alcohol consumption

Liu, C., Marioni, R. E., Hedman, Å. K., Pfeiffer, L., Tsai, P.-C., Reynolds, L. M., Just, A. C., Duan, Q., Boer, C. G., Tanaka, T., et al. (2018) · Molecular Psychiatry

Epigenetics and DNA MethylationAlcohol Consumption and Health Effects

Cited by 402

Association analysis in over 329,000 individuals identifies 116 independent variants influencing neuroticism

Luciano, M., Hagenaars, S. P., Davies, G., Hill, W. D., Clarke, T.-K., Shirali, M., Harris, S. E., Marioni, R. E., Liewald, D. C., Fawns-Ritchie, C., et al. (2018) · Nature Genetics

Genetic Associations and EpidemiologyNeurotransmitter Receptor Influence on Behavior

Cited by 391

Genetic contributions to variation in general cognitive function: a meta-analysis of genome-wide association studies in the CHARGE consortium (N=53 949)

Davies, G., Armstrong, N., Bis, J. C., Bressler, J., Chouraki, V, Giddaluru, S., Hofer, E., Ibrahim-Verbaas, C. A., Kirin, M., Lahti, J., et al. (2015) · Molecular Psychiatry

Genetic Associations and EpidemiologyCognitive Abilities and Testing

Cited by 384

Genome-wide association study of cognitive functions and educational attainment in UK Biobank (N=112 151)

Davies, G., Marioni, R. E., Liewald, D. C., Hill, W. D., Hagenaars, S. P., Harris, S. E., Ritchie, S. J., Luciano, M., Fawns-Ritchie, C., Lyall, D., et al. (2016) · Molecular Psychiatry

Genetic Associations and EpidemiologyCognitive Abilities and Testing

Cited by 373

Validation of biomarkers of aging

Moqri, M., Herzog, C., Poganik, J. R., Ying, K., Justice, J. N., Belsky, D. W., Higgins-Chen, A. T., Chen, B. H., Cohen, A. A., Fuellen, G., et al. (2024) · Nature Medicine

Genetics, Aging, and Longevity in Model OrganismsTelomeres, Telomerase, and Senescence

Cited by 361

Shared genetic aetiology between cognitive functions and physical and mental health in UK Biobank (N=112 151) and 24 GWAS consortia

METASTROKE Consortium, I. C. F. B. P. G., Hagenaars, S. P., SpiroMeta Consortium, CHARGE Consortium Pulmonary Group, C. C. A. A. L. G., Harris, S. E., Davies, G., Hill, W. D., Liewald, D. C. M., Ritchie, S. J., Marioni, R. E., et al. (2016) · Molecular Psychiatry

Genetic Associations and EpidemiologyCognitive Abilities and Testing

Cited by 350

Trans-ancestry meta-analyses identify rare and common variants associated with blood pressure and hypertension

CHARGE-Heart Failure Consortium, Surendran, P., EchoGen Consortium, METASTROKE Consortium, GIANT Consortium, EPIC-InterAct Consortium, Study, L. C., Wellcome Trust Case Control Consortium, Understanding Society Scientific Group, EPIC-CVD Consortium, et al. (2016) · Nature Genetics

Genetic Associations and EpidemiologyBlood Pressure and Hypertension Studies

Cited by 312